提出一种基于遗传算法和禁忌搜索算法混合优化的移动代理测量调度方法,用于实现测量过程中移动代理派遣次序的优化调度。该机制综合考虑了各移动代理的产生时序、优先级和能耗等指标,在确保各移动代理有效执行的前提下,使代理派遣次序更合理。仿真实验表明,基于遗传算法和禁忌搜索混合优化的移动代理测量调度可以有效降低无线传感器器网络能耗和减少延迟,延长网络寿命,改善网络实时性和测量性能。
A mixed strategy for mobile agents measurement scheduling in WSN was proposed, which was combined by genetic algorithm and tabu search. The proposed scheduling strategy takes the creation sequence, priority and energy consumption of mobile agents into consider, for reasonablely dispatching multiple mobile agents and ensuring the measurement performance of WSN. Simulation results demonstrate that the proposed algorithm can effectively arrange the order of mobile agents dispatching, where the energy consumption and time delay can be remarkablely decreased and the lifetime of WSN can be accordingly prolonged.